EN36 minAgentic AI for Researchers: From Literature Search to Submission
A researcher-led walkthrough of using agentic AI in SciSpace to move from literature search to a submission-ready manuscript.
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EN36 minA researcher-led walkthrough of using agentic AI in SciSpace to move from literature search to a submission-ready manuscript.
EN38 minFollow one research project through an end-to-end agentic workflow in SciSpace, from first search to journal submission, with human checkpoints throughout.
EN43 minMarija Đukić shows how she used SciSpace and repeated human-AI iteration to turn a large literature base into a structured maturity model.
EN27 minDr. Gali Halevi explains which parts of scientific writing AI can support and which decisions must stay with the researcher.
EN39 minProfessor Benita Olivier shows how to declare AI use at each stage of a real research workflow in SciSpace.
Why openly disclosing AI use protects your credibility, and how to stay accountable for every claim when AI supports your research.
EN47 minProf. Roger Watson, Editor-in-Chief of Nurse Education in Practice, evaluates a manuscript live to show how editors judge submissions.
EN45 minLearn which AI writing patterns raise red flags with grant and journal reviewers, and how to use AI while keeping your own voice.
See how an AI agent can turn one research question into several searches, then summarise and organise candidate papers for you to check.
EN37 minHow AI can support journal selection, submission and post-publication visibility, the final stage of the research lifecycle.
EN35 minDr. Hélène Nguemgaing explains how to use AI across the research process while keeping verification, disclosure and accountability in place.
EN42 minA complete AI-assisted literature review in SciSpace, paired with practices that keep it rigorous, transparent and ready for scrutiny.
EN47 minPhD statistician Dr. Lyndon Walker shows how to use SciSpace's AI Data Analyst while keeping statistical results accurate and honest.
EN48 minLearn where AI fits in manuscript drafting, how ICMJE, COPE and major publishers differ on disclosure, and how to write your statement.
EN40 minChristopher Ostro shares how he adapted his writing course to AI through transparency, AI literacy and trust rather than policing.
Dr. Olga Koz offers a practical roadmap for teaching and conducting literature reviews with AI while building real synthesis skills.
EN43 minWhen, where and how to disclose AI use across the research lifecycle, with guidance on writing clear statements and avoiding common mistakes.
EN37 minFollow a four-stage SciSpace workflow that takes a literature review from semantic search to organised, citation-ready drafts.
EN59 minDr. Ethan James Gantana shows which research tasks AI can speed up, which need scrutiny and which always need independent verification.
EN40 minProfessor Benita Olivier explains where SciSpace helps build a grant's evidence base and why the core argument must stay yours.
EN50 minSee how SciSpace AI can support exploring, visualising and reporting research data while you keep rigor and interpretation in your hands.
EN39 minLearn an AI-assisted framework for organising, prioritising and synthesising hundreds of papers during a PhD without burning out.
EN35 minDr. Joanne Donoghue shows how to reduce fabricated citations and wrong answers by building a verifiable AI-assisted research workflow.
Explore how AI search and synthesis can cut repetitive reading in literature reviews, and where human judgment remains essential.